{"instruction": "You are an expert in event extraction. Please extract events from the input that conform to the schema definition. Return an empty list for events that do not exist, and return NAN for arguments that do not exist. If an argument has multiple values, please return a list. Respond in the format of a JSON string.", "schema": [{"event_type": "ransom", "trigger": true, "arguments": ["attack pattern", "damage amount", "tool", "price", "attacker", "payment method", "time", "victim", "place"]}, {"event_type": "data breach", "trigger": true, "arguments": ["place", "number of victim", "time", "attack pattern", "damage amount", "number of data", "victim", "attacker", "purpose", "tool"]}, {"event_type": "discover vulnerability", "trigger": true, "arguments": ["time", "supported platform", "capabilities", "common vulnerabilities and exposures", "vulnerability", "discoverer", "vulnerable system version"]}, {"event_type": "phishing", "trigger": true, "arguments": ["tool", "damage amount", "victim", "trusted entity", "purpose", "attack pattern"]}, {"event_type": "patch vulnerability", "trigger": true, "arguments": ["patch", "releaser", "issues addressed", "common vulnerabilities and exposures", "time", "vulnerable system version", "supported platform", "vulnerability", "vulnerable system"]}], "input": "RedLock ’s Cloud Security Intelligence team found that the Tesla breach resulted from the exposure of Amazon Web Services security credentials after hackers penetrated Tesla ’s Kubernetes console , which was not password protected This led to the exposure of the company ’s Amazon S3 cloud account , which contained sensitive data including the Tesla vehicle telemetry ."}
{"ransom": [], "data breach": [{"trigger": "breach", "arguments": {"place": "NAN", "number of victim": "NAN", "time": "NAN", "attack pattern": "NAN", "damage amount": "NAN", "number of data": "NAN", "victim": "Tesla", "attacker": "NAN", "purpose": "NAN", "tool": "NAN"}}], "discover vulnerability": [], "phishing": [], "patch vulnerability": []}